Aiming at the poor temperature control performance and low combustion efficiency of casting sand core surface drying furnace,a new hot air circulation temperature control system was designed.Based on the variable limiting amplitude double cross combustion strategy,the wavelet neural network with improved gray wolf optimization (GWO) algorithm was used to adaptively adjust the PID control parameters.The system simulation shows that compared with the traditional PID control,the overshoot is close to 0,the system regulation time is reduced by 50%,and the temperature switching control speed is increased by 47%.Finally,through the sand core drying test,compared with the traditional ratio cascade PID control,the variable limiting amplitude double cross combustion strategy and the improved GWO wavelet neural network PID have a great improvement on the control effect of furnace temperature.